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Article

MPH: fast REML for large-scale genome partitioning of quantitative genetic variation.

Bioinformatics (Oxford, England) - 2 May 2024

Jiang Jicai

Abstract excerpt

MOTIVATION: Genome partitioning of quantitative genetic variation is useful for dissecting the genetic architecture of complex traits. However, existing methods, such as Haseman-Elston regression and linkage disequilibrium score regression, often face limitations when handling extensive farm animal datasets, as demonstrated in this study. RESULTS: To overcome this challenge, we present MPH, a novel software tool...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 38688661
DOI: 10.1093/bioinformatics/btae298
PMCID: PMC11093526

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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